Hour-ahead wind power and speed forecasting using simultaneous perturbation stochastic approximation (SPSA) algorithm and neural network with fuzzy inputs

@inproceedings{Hong2010HouraheadWP,
  title={Hour-ahead wind power and speed forecasting using simultaneous perturbation stochastic approximation (SPSA) algorithm and neural network with fuzzy inputs},
  author={Ying-Yi Hong and Huei-Lin Chang and Ching-Sheng Chiu},
  year={2010}
}
Wind energy is currently one of the types of renewable energy with a large generation capacity. However, since the operation of wind power generation is challenging due to its intermittent characteristics, forecasting wind power generation efficiently is essential for economic operation. This paper proposes a new method of wind power and speed forecasting using a multi-layer feed-forward neural network (MFNN) to develop forecasting in time-scales that can vary from a few minutes to an hour… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 33 CITATIONS

On Comparing Six Optimization Algorithms for Network-based Wind Speed Forecasting

  • 2018 37th Chinese Control Conference (CCC)
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

Wind-thermal power system dispatch using MLSAD model and GSOICLW algorithm

  • Knowl.-Based Syst.
  • 2017
VIEW 1 EXCERPT
CITES BACKGROUND